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Found 2 papers, 1 papers with code
AdaMoLE: Fine-Tuning Large Language Models with Adaptive Mixture of Low-Rank Adaptation Experts
We introduce AdaMoLE, a novel method for fine-tuning large language models (LLMs) through an Adaptive Mixture of Low-Rank Adaptation (LoRA) Experts.
Complexity-Optimized Sparse Bayesian Learning for Scalable Classification Tasks
Sparse Bayesian Learning (SBL) constructs an extremely sparse probabilistic model with very competitive generalization.
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